Skip to main content
SpringerLink
Log in

Validation of Software Used for Calibration of Angle Block at CSIR-NPL, India

  • Original Paper
  • Published:
MAPAN Aims and scope Submit manuscript

Abstract

In the field of dimensional metrology, angle blocks are calibrated using a precision indexed rotary table in conjunction with an autocollimator. Only few national metrology institutes (NMI) of developed counties has sophisticated automatic setup of indexed table, autocollimator. NMIs use individual analytical model for angle block calibration. Based on the analytical model, NMIs has exclusively written software to generate calibration results. Some NMIs of developing economics manually operate indexed rotary table, autocollimator for angle calibration. The readings of indexed table, autocollimator are recorded manually. The results are calculated manually or on excel sheets. Frequently, operator commits mistakes in determining the sign of angular deviation. At National Physical Laboratory-India, a generic analytical mathematical model is devised for angle block calibration. Software entitled “Calibration of angle gauge” is developed. The software takes readings of indexed table, autocollimator to calculate the angular deviation of angle block. Instead of direct coding the generic analytical mathematic model, the software is written with logical basis of the generic analytical mathematic model. A set of measurement readings of angle blocks are used as reference data to validate the software and analytical model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Good Practice Guide No. 118, National Physical Laboratory UK, ISSN: 1368–6550, (2010).

  2. Indian Standard IS: 6231-1971 Reaffirmed 1998, Specification for prismatic angle gauges, Bureau of Indian Standards, New Delhi.

    Google Scholar 

  3. P.C. Jain, Weights, measures & dimensional metrology, Techniques for calibration of angle standards, A Pragati publication, 1997, ISBN -81-755-076-2.

  4. R.P. Singhal, N.K. Aggarwal and P.C. Jain, Angle standard and their calibration, MAPAN-J. Metrol. Soc India, 3(1) (1988) 7–16.

    Google Scholar 

  5. J. Yuan, X. Long, CCD-area-based autocollimator for precision small angle measurement, Rev. Sci. Inst. 74(3), (2003) 1362–1365.

    Article  ADS  Google Scholar 

  6. Z. Ge and M. Takeda High-resolution two-dimensional angle measurement technique based on fringe analysis, Appl. Opt., 42(34) (2003) 6859–6868.

    Article  ADS  Google Scholar 

  7. A. Just, M. Krause, R. Probst and R. Wittekopf, Calibration of high resolution electronic autocollimator against an angle comparator, Metrologia, 40 (2003) 288–294.

  8. R. Probst, R. Wittekopf, M. Krause, H. Dangschat and A. Ernst, The new PTB angle comparator, Meas. Sci. Technol. 9 (1998) 1059–1066.

    Article  ADS  Google Scholar 

  9. T. Watanabe, H. Fujimoto, T. Masuda, Self calibratable rotary encoder, Journal of Physics: conference series 13, (2005) 241–245.

    ADS  Google Scholar 

  10. C.P. Reeve, The calibration of indexing tables by subdivision, NBSIR 75-750, National bureau of standards, US (1975).

  11. W.T. Estler (1998) Uncertainty for angle calibration using circle closure, J. Res. Natl. Inst. Stand. Technol. 103(2) 141–151.

    Article  Google Scholar 

  12. P.J. Sim, Modern Techniques in Metrology, Angle standards and their calibration, World Scientific Publishers P Ltd, Singapore 103 (1984).

  13. C.P. Reeve, The calibration of angle blocks by inter-comparison, NBSIR 80-1967, National Bureau of Standards, US (1980).

  14. APMP Regional Comparison K-3 Calibration of Angle Standard, Technical Protocol Draft 1A (2005).

  15. J. Stone, Advanced angle metrology systems at NIST, Requirement and recent developments in high precision angle metrology, Proceedings of 186th PTB-seminar, (2003).

  16. A. Kruger, Methods for determining the effect of flatness deviations, eccentricity and pyramidal errors on angle measurements, Metrologia, 37 (2000) 101–105.

    Article  ADS  Google Scholar 

  17. M.A. Sanjid, Improved direct comparison calibration of small angle blocks, Measurement, 46(1) (2013) 646–653.

    Article  Google Scholar 

  18. A. Malengo and F. Pennecchi, A weighted total least-squares algorithm for any fitting model with correlated variables, Metrologia 50 (2013) 654–662.

    Article  ADS  Google Scholar 

  19. M. Krystek and M. Anton, A least-squares algorithm for fitting data points with mutually correlated coordinates to a straight line, Meas. Sci. Technol. 22 (2011) 035101.

    Article  ADS  Google Scholar 

  20. S. Yadav, B.V. Kumaraswamy, V.K. Gupta, A.K. Bandyopadhyay, Least squares best fit line method for the evaluation of measurement uncertainty with electromechanical transducers EMT with electrical outputs (EO). MAPAN-J. Metrol. Soc India, 25 (2010) 97–106.

    Google Scholar 

  21. ISO/IEC 17025:2005,General requirements for the competence of testing and calibration laboratories, ISO, 2005.

  22. B. wichmann, G. Parkin, R. Barker, Validation of Software in Measurement Systems, Software Support for Metrology Best Practice Guide No. 1, Centre for Mathematics and Scientific Computing NPL-UK (2004).

  23. P. Carbone, L. Mari, and D. Petri, A comparison between foundations of metrology and software measurement, IEEE transactions on instrumentation and measurement, 57 (2008).

  24. M. Arif Sanjid, K.P. Chaudhary, R.P. Singhal, Feasible method to validate measurement software FLaP used in automatic gauge block interferometer to enforce ISO/IEC 17025:2005. MAPAN-J. Metrol. Soc. India 22 (2007) 247-255.

    Google Scholar 

  25. J.A. Stone, M. Amer, B. Faust and J. Zimmerman, Uncertainties in small-angle measurement systems used to calibrate angle artifacts, J. Res. Natl. Inst. Stand. Technlo. 109 (2004) 319–333.

    Article  Google Scholar 

  26. ISO/IEC Guide for expression of uncertainty of measurements, Geneva (1998).

  27. A.J. Abackerli, P.H. Pereira, N. Calônego Jr. A case study on testing CMM uncertainty simulation software (VCMM), J. Braz. Soc. Mech. Sci. & Eng. 8 Vol. XXXII, No. 1, January–March (2010).

  28. B. Acko, B. Sluban, T. Tasič, S. Brezovnik (2014) Performance metrics for testing statistical calculations in interlaboratory comparisons, Adv. Prod. Eng. Manag. 9(1) 44–52.

    Google Scholar 

  29. F. Härtig, K. Kniel, Critical, observations on rules for comparing measurement results for key comparisons, Measurement, 46(9) (2013), 3715–3719.

    Article  Google Scholar 

  30. H. Nieciąg, Z. Chuchro, Validation of metrological software, 12th Imeko TC1 & TC7 Joint symposium on man science & measurement, September, 3–5, 2008, Annecy, France.

    Google Scholar 

  31. B. Acko, S. Brezovnik, B. Sluban (2013). Verification of software applications for evaluating interlaboratory comparison results, In: Annals of DAAAM International for 2013, Collection of working papers for 24th DAAAM international symposium, DAAAM International Vienna, Vienna.

  32. S. Yadav and A.K. Bandyopadhyay (2009) Evaluation of laboratory performance through interlaboratory comparison, MAPAN-J. Metrol. Soc India 24(2) 125–138.

    Google Scholar 

Download references

Acknowledgments

Authors pay sincere thanks to the director, CSIR-NPL, India for his encouragement.

Author information

Authors and Affiliations

  1. Standards of Dimension Division, CSIR- National Physical Laboratory, Dr K S Krishnan Marg, New Delhi, 110012, India

    M. Arif Sanjid & K. P. Chaudhary

Authors
  1. M. Arif Sanjid
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. P. Chaudhary
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Arif Sanjid.

Appendix: Coding of the angle block software

Appendix: Coding of the angle block software

1.1 Module 1: Enter the measured reading of the angle block

figure a

1.2 Module 2: Calculation of angular deviation

figure b

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arif Sanjid, M., Chaudhary, K.P. Validation of Software Used for Calibration of Angle Block at CSIR-NPL, India. MAPAN 31, 31–41 (2016). https://doi.org/10.1007/s12647-015-0157-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12647-015-0157-x

Keywords

Search

Navigation